A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach-Reference-Cited by-同舟云学术

A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach

Published:2016-12 Issue: Volume:49 Page:137-145
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Kamadi V.S.R.P. Varma,Allam Appa Rao,Thummala Sita Mahalakshmi,P. V. Nageswara Rao

Funder

DST-IRHPA

Publisher

Elsevier BV

Subject

Software

Reference25 articles.

1. The economics costs of undiagnosed diabetes;Zhang;Popul. Health Mange.,2009

2. Introduction of decision tree;Quinlan;Mach. Learn.,1986

3. Quinlan J.R., Morgan Kaufmann, 1993. Programs for Machine Learning. San Mateo, California.

4. SLIQ: A fast scalable classifier for data mining in Extending Database Technology;Mehta,1996

5. Ryu Efficient Fuzzy Rules for Classification;Kim;Proceeding of the International Workshop on Integrating AI and Data Mining (AIDM'06),2006

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